Browse FSI scholarship on geopolitics, global health, energy, cybersecurity and more.
Featured Publications
Residual Governance: How South Africa Foretells Planetary Futures
Gabrielle Hecht dives into the wastes of gold and uranium mining in South Africa to explore how communities, experts, and artists fight for infrastructural and environmental justice.
The Strengths and Weaknesses of the Online Child Safety Ecosystem
Scholars from the Stanford Internet Observatory outline what needs to be done to improve the CyberTipline pipeline as incidents of AI-generated CSAM escalate.
Propaganda in Autocracies: Institutions, Information, and the Politics of Belief
Using the first global data set of autocratic propaganda, Erin Baggott Carter and Brett Carter examine the intertwined relationship between citizens' beliefs and a the security of a dictator's power.
Renée DiResta is the technical research manager at Stanford Internet Observatory. Dave Willner is a Non-Resident Fellow in the Program on Governance of Emerging Technologies at Stanford Cyber Policy Center.
Many U.S. states have legislated to allow nurse practitioners (NPs) to independently prescribe drugs. Critics contend that these moves will adversely affect quality of care.
The home language environment is a significant correlate of early childhood development outcomes; however, less is known about this mechanism in rural and peri-urban China where rates of developmental delay are as high as 52%. This study examines associations between the home language environment and child development in a sample of 158 children (58% boys) aged 18–24 months (Mage = 21.5) from rural and peri-urban households in Western China. Results show a significant association between adult-child conversation count and language development, suggesting the home language environment may be a mechanism for child development in rural and peri-urban China. 22.5% of the sample were at risk of language delay. Mother’s employment and child’s age were significant factors in the home language environment.
Compartmental infectious disease (ID) models are often used to evaluate non-pharmaceutical interventions (NPIs) and vaccines. Such models rarely separate within-household and community transmission, potentially introducing biases in situations where multiple transmission routes exist. We formulated an approach that incorporates household structure into ID models, extending the work of House and Keeling.